Triple

T8782620
Position Surface form Disambiguated ID Type / Status
Subject Karol G E208768 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Maluma E252637 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maluma | Statement: [Karol G, hasCollaboratedWith, Maluma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maluma
Context triple: [Karol G, hasCollaboratedWith, Maluma]
  • A. Maluma chosen
    Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
  • B. Mala
    Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
  • C. Mala
    Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
  • D. Malumfashi
    Malumfashi is a town and local government area in northern Nigeria known for its role as an administrative and commercial center within Katsina State.
  • E. Malakula
    Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7155b081908891e84b704f0ebf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51e9d97c8190a947848fdaa5b67d completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.